Key Features

Five agentic robotics workflows.
Automated simulation research.
Agent-as-policy interaction.
Natural-language simulation tasks.
Video-to-simulation reconstruction.
Text, image, and video motion requests.
Integrated perception and geometry tools.
Published Python package and source workflows.

The workflows connect language-model agents with specialized tools for kinematics, grasping, perception, geometry, motion, rendering, and physics. Each workflow defines its own observation and action setting, separating experiments with privileged simulator state from policies that must act on limited observations.


RoboSkills supports developers prototyping agentic robotics without assembling every integration from scratch. The published Python package, source workflows, and interactive showcase give concrete examples of simulation tasks, motion requests, and demonstration reconstruction, with transparent cost and success measurements for specific tested tasks.

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